ArticleIEEE/ACM transactions on computational biology and bioinformatics
2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV.
Article in IEEE/ACM transactions on computational biology and bioinformatics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
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- A Review of the Application of Spatial Transcriptomics in Neuroscience.Interdisciplinary sciences, computational life sciences · 2024Review
- Re-examination of statistical relationships between dietary fats and other risk factors, and cardiovascular disease, based on two crucial datasets.Quantitative biology (Beijing, China) · 2024Article
- PCGIMA: developing the web server for human position-defined CpG islands methylation analysis.Frontiers in genetics · 2024Article
- Spatiotemporal Transformer Neural Network for Time-Series Forecasting.Entropy (Basel, Switzerland) · 2022Article
- Artificial intelligence in cancer target identification and drug discovery.Signal transduction and targeted therapy · 2022Review
- An integrated platform forFrontiers in genetics · 2022Article
- MCDB: A comprehensive curated mitotic catastrophe database for retrieval, protein sequence alignment, and target prediction.Acta pharmaceutica Sinica. B · 2021Article
- Correlation-Based Analysis of COVID-19 Virus Genome Versus Other Fatal Virus Genomes.Arabian journal for science and engineering · 2021Article
- Developing an Embedding, Koopman and Autoencoder Technologies-Based Multi-Omics Time Series Predictive Model (EKATP) for Systems Biology research.Frontiers in genetics · 2021Article
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8 authors.
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Abstract
Since the COVID-19 epidemic is still expanding around the world and poses a serious threat to human life and health, it is necessary for us to carry out epidemic transmission prediction, whole genome sequence analysis, and public psychological stress assessment for 2019-nCoV. However, transmission prediction models are insufficiently accurate and genome sequence characteristics are not clear, and it is difficult to dynamically assess the public psychological stress state under the 2019-nCoV epidemic. Therefore, this study develops a 2019nCoVAS web service (http://www.combio-lezhang.online/2019ncov/home.html) that not only offers online epidemic transmission prediction and lineage-associated underrepresented permutation (LAUP) analysis services to investigate the spreading trends and genome sequence characteristics, but also provides psychological stress assessments based on such an emotional dictionary that we built for 2019-nCoV. Finally, we discuss the shortcomings and further study of the 2019nCoVAS web service.
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